code: def exact_shap_classification_dataset():
      return create_synthetic_dataset(
          generator=skl_make_clas,
          n_samples=101,
          n_features=11,
          test_size=3,
          random_state_generator=42,
          random_state_train_test_split=42,
      )
  
imports: from cuml.testing.utils import create_synthetic_dataset
  from sklearn.feature_extraction.text import CountVectorizer
  from sklearn import datasets
  from sklearn.datasets import make_regression
  from sklearn.datasets import make_classification
  from sklearn.datasets import fetch_california_housing
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.utils import Bunch
  from datetime import timedelta
  from math import ceil
  import hypothesis
  from cuml.internals.safe_imports import gpu_only_import
  import pytest
  import os
  import subprocess
  import pandas
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 12 for calling a global function with example usage: exact_shap_classification_dataset() and returns: create_synthetic_dataset